Speech Emotion Recognition (SER) directs the identification of emotional states of a person from their speech [1]}. It enables the system to measure the acoustic cues from speech as a standard for emotion recognition [2]}. The existence of such cues led the path for researching the most comprehensive features that contribute greatly to emotion recognition. Pell et al. [3]} emphasized the significance of vocal features for emotion recognition from speech.
